The State-of-the-art of Model Predictive Control in Recent Years

3rd International Conference on Automation, Control and Robotics Engineering

工业技术;计算机科学;无线电电子学

Han, Jixia^1 ; Hu, Yi^1 ; Dian, Songyi^1

College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China^1

关键词: Application area;    Current situation;    Fast dynamic system;    Feedback control strategies;    Industrial development;    On-line applications;    Online optimization;    Predictive control;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/428/1/012035/pdf
DOI  :  10.1088/1757-899X/428/1/012035

来源: IOP

【 摘 要 】

Model predictive control is a control algorithm based on model and online application optimization performance. In the past 40 years, the feedback control strategy has been widely studied. However, with the rapid development of the economy, the requirements for online optimization and constrained performance have been improved, and the current model predictive control theory can not meet the demand any more. This paper first briefly describes the current situation of model prediction, industrial development, and application areas, and then analyzes the limitations of theory and technology at the current stage, then proposes the significance of the study of predictive control of large-scale systems, fast dynamic systems, and nonlinear systems for the development of model predictions.